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PlayerZero brings AI to a new era of software development beyond the code editor.

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Faster ticket resolution time

"We can now predict, with much higher confidence, how code changes might impact customers before those changes are ever deployed." — Mu Yang, SVP

90%

Defects found before release

Connect your codebase. Our models fix, understand, and simulate across large codebases in any language.

Introducing Sim-1
Our smartest models capable of simulating how code runs

A new category of models built to understand and predict how large codebases behave in complex, real-world scenarios

Debug any problem down to a line of code, and make sure it never happens again

The first-of-its kind agentic system that can understand and predict state in large distributed codebases

Dev & QA

Code Simulations

Simulate real customer scenarios on code to predict problems before they are released.

Support

Agentic Debugging

Understand, triage, and fix complex problems in large codebases. Short circuit debugging before it becomes a team activity.

Codebase & Runtime Awareness

Navigate, debug, and build across millions of lines of code and hundreds of repos.

Semantic Graphs
Beyond LLMs and ASTs, PlayerZero constructs semantic graphs to map enterprise scale dependencies and feature relationships across any language and architecture.
Deep Thought
Coherence and execution over long time horizons. Agents can iteratively test hypotheses, explore varied problem spaces, and generate thoughtful answers in complex environments.
Contextual Dataset Retrieval
A holistic and context-aware understanding of your product across code, tickets, telemetry, and documentation. PlayerZero continuously reinforces its understanding of your product based on what's happening outside of the editor.
Multi-Repo Awareness
PlayerZero builds a unified graph over multiple granularities on any number of product codebases and in any language. It understands dependencies, architectures and services to enable fast, architect-level understanding of your codebase.

Semantic Graphs

Beyond LLMs and ASTs, PlayerZero constructs semantic graphs to map enterprise scale dependencies and feature relationships across any language and architecture.

Semantic Graphs

Deep Thought

Contextual Dataset Retrieval

Multi-Repo Awareness

Semantic Graphs

Beyond LLMs and ASTs, PlayerZero constructs semantic graphs to map enterprise scale dependencies and feature relationships across any language and architecture.

Semantic Graphs

Deep Thought

Contextual Dataset Retrieval

Multi-Repo Awareness

AI-Native QA

Code Simulations

The first-of-it’s kind models that can understand and predict state in large distributed codebases.

Support

Agentic Debugging

Understand, triage, and fix complex problems in large codebases. Short circuit debugging before it becomes a team activity.

Proactive agents that simplify and accelerate testing and debugging

PlayerZero works directly with your developers to predict, prevent, and triage issues before they cause problems

Agentic Debugging
Continuously learn from active development and defects, end-to-end reinforcement learning models
PlayerZero continuously learns from your code, telemetry, and tickets to understand the customer impact of code
Tickets
code telemetry
Learning
Debug With Full Context
Compress triage and state capture time
Unify and correlate customer, system, and code context to automatically understand why something broke.
Agentic PR Review
Instant PR feedback increases velocity and gets ahead of bugs
Embedded agents identify, simulate, and predict problems autonomously on every commit and every PR.